Abstract: A DC/DC converter fault diagnosis method based on an improved sparrow search algorithm, includes: establishing an simulation module of the converter, selecting a leakage inductance current of a transformer as a diagnosis signal, and collecting diagnosis signal samples under OC faults of different power switching devices of the converter as a sample set; improving a global search ability of a sparrow search algorithm by using a Levy flight strategy; dividing the sample set into a training set and a test set, preliminarily establishing an architecture of a deep belief network, and initializing network parameters; optimizing a quantity of hidden-layer units of the deep belief network by using an improved sparrow search algorithm, to obtain a best quantity of hidden-layer units of the deep belief network; and training an optimized deep belief network obtained based on the improved sparrow search algorithm, and obtaining a fault diagnosis result based on a trained network.

Abstract: A liquid crystal/polymer composite electrically controlled dimming film is provided, including a liquid crystal material, a polymer matrix, and two layers of conductive substrates. The polymer matrix is sandwiched between the two layers of conductive substrates, and the polymer matrix has a porous microstructure. The liquid crystal material is dispersed in the polymer matrix to form liquid crystal microdroplets, and the liquid crystal microdroplets have vertically oriented polymer networks. The liquid crystal/polymer composite electrically controlled dimming film has a unique composite microstructure. In this composite microstructure, the polymer matrix of the porous microstructure gives the film with good mechanical processing performance.

Abstract: A target tracking method and a target tracking system of a spiking neural network based on an event camera are provided. The method includes: acquiring a data stream of asynchronous events in a high dynamic scene of a target by an event camera as input data; dividing the data stream of the asynchronous events into synchronous event frames with millisecond time resolution; training a twin network based on a spiking neural network by a gradient substitution algorithm with a target image as a template image and a complete image as a searched image; and tracking the target by a trained twin network with interpolating a result of feature mapping to up-sample and obtaining the position of the target in an original image. The twin network includes a feature extractor and a cross-correlation calculator.

Abstract: An approach is disclosed herein for dynamic design switching for high performance mixed signal simulation. Disclosed herein is a new approach to simulation processes that allows for different segments of a design to be swapped out without requiring re-elaboration. This is an improvement over current techniques and decreases the amount of time need to simulate a design. In some embodiments, the technique illustrated herein is combined with an automated triggering mechanism that controls the selection of alternate representations for the same element base on those triggers. In some embodiments a new multiplexor structure is provided that is specifically tailored to solving the present issue.

Abstract: Provided are compositions and methods for enhanced prime editing, which include a pegRNA that encodes a target mutation in a target protein, along with one or more nearby silent or conservative mutations. These silent mutations can increase the editing efficiency, without causing a change to the target protein sequence. Also provided are compositions and methods of using the improved prime editing for preventing or treating infections by SARS-CoV or SARS-CoV-2.

Abstract: An anomaly detector for detecting anomaly in input data comprises an auto-encoder trained to encode the input data and decode the encoded input data to reconstruct the input data. Further, the anomaly detector comprises a classifier trained to determine a reconstruction loss indicative of a difference between the accepted input data and the reconstructed input data, where the reconstruction loss includes a weighted combination of a plurality of loss functions evaluating reconstruction losses of a plurality of parts of the reconstructed input data, different types of loss functions, or both. The classifier is further configured to detect an anomaly in the reconstructed input data when the reconstruction loss is above a threshold.

Abstract: Disclosed are a preprocessing method and device for distance transformation. The method includes: acquiring a first grid map; calculating a second parameter of a vehicle model; calculating a precision of a second grid map according to the second parameter of the vehicle model and a precision of the first grid map; calculating the numbers of rows and columns of the second grid map according to information on the first grid map, the precision of the second grid map and the second parameter of the vehicle model; determining for each cell of the second grid map a state value according to the numbers of obstacle cells within said each cell; and determining in the first grid map at least one cell requiring no processing, according to the state value. Therefore, during the distance transformation, the processing speed for determining the distance value of each cell is increased.

Abstract: A DC/DC converter fault diagnosis method based on an improved sparrow search algorithm, includes: establishing an simulation module of the converter, selecting a leakage inductance current of a transformer as a diagnosis signal, and collecting diagnosis signal samples under OC faults of different power switching devices of the converter as a sample set; improving a global search ability of a sparrow search algorithm by using a Levy flight strategy; dividing the sample set into a training set and a test set, preliminarily establishing an architecture of a deep belief network, and initializing network parameters; optimizing a quantity of hidden-layer units of the deep belief network by using an improved sparrow search algorithm, to obtain a best quantity of hidden-layer units of the deep belief network; and training an optimized deep belief network obtained based on the improved sparrow search algorithm, and obtaining a fault diagnosis result based on a trained network.

Abstract: System and method for testing power conversion devices are provided. A power supply grid is connected to an AC terminal of a first power conversion device, the power supply grid is also connected to an AC terminal of the second power conversion device, and a DC terminal of the first power conversion device is connected to a DC terminal of the second power conversion device. In this way, a test loop is formed by the power supply grid, the first power conversion device and the second power conversion device. In this test loop, the first power conversion device and the second power conversion device act as a load and a power source, so no additional DC power supply and load are required during the test.

Abstract: The present disclosure provides a display substrate, including: a display area and a bonding area positioned on a side of the display area, the bonding area includes a plurality of bonding sub-areas arranged at intervals, the bonding sub-areas are arranged along a direction in which an edge of the display area extends and configured for bonding a chip-on-film, where a first antistatic layer is further arranged on the bonding area, at least a part of the first antistatic layer is positioned between adjacent ones of the bonding sub-areas, and the first antistatic layer is electrically coupled to a reference signal terminal. The present disclosure further provides a display device.

Abstract: Implementations of the present specification provide a training method for a graph neural network, and relate to performing multiple rounds of iterative updating on a graph neural network based on a user relational graph, where any round of the multiple rounds includes: processing the user relational graph by using a current graph neural network, to obtain multiple classification prediction vectors corresponding to multiple user nodes in the user relational graph; allocating a corresponding pseudo classification label to a first quantity of unlabeled nodes in the multiple user nodes based on the multiple classification prediction vectors; determining, for each of the first quantity of unlabeled nodes, an information gain generated by training the current graph neural network by using the unlabeled node; and updating a model parameter in the current graph neural network according to a classification prediction vector and a real classification label that are corresponding to each labeled node in the multiple us

Abstract: A method of feature substitution for end-to-end image compression, is performed by at least one processor and includes encoding an input image, using a first neural network, to generate an encoded representation, and quantizing the generated encoded representation, using a second neural network, to generate a compressed representation. The first neural network and the second neural network are trained by determining a rate loss, based on a bitrate of the generated compressed representation, and updating the generated encoded representation, based on the determined rate loss.

Abstract: A file processing method, a terminal, and a storage medium are provided, relating to the technical field of human-computer interaction. The method includes the following. A first user interface is displayed in the first display region and a second user interface is displayed in the second display region, when the foldable display screen is in an unfolded state, where the first display region and the second display region are on a same plane in the unfolded state. A drag operation on a target file in the first user interface is received. The target file is displayed in the second user interface according to the drag operation. The target file is processed through an application corresponding to the second user interface.

Abstract: An array substrate including: a substrate; a data line on the base substrate and extending in a first direction; and a touch signal line on the base substrate, wherein an extending direction of the touch signal line is the same as an extending direction of the data line; the data line and the touch signal line are in different layers and insulated from each other, and an orthographic projection of the touch signal line on the base substrate at least partially overlaps an orthographic projection of the data line on the base substrate.

Abstract: An electric energy dispatch method, an apparatus, a system, a device, and a medium. The method may include: receiving charging and discharging completion information sent by a battery management system (BMS) during a dispatch process for an electric energy dispatch of a grid dispatch platform that is performed between a grid and a battery of a vehicle by means of a charging and discharging apparatus; determining whether a dispatch mode of the dispatch process is a target dispatch mode according to the charging and discharging completion information; and allowing the BMS to accept the electric energy dispatch of the grid dispatch platform when the dispatch mode is the target dispatch mode.

Abstract: The invention discloses a compound represented by the following general formula (I) or a pharmaceutically acceptable salt thereof. The invention also discloses a preparation method of the compound and use thereof in preventing and/or treating cancer or tumor-related diseases, in particular diseases such as breast cancer, prostate cancer, lung cancer, multiple myeloma, leukemia, gastric cancer, ovarian cancer, colon cancer, liver cancer, pancreatic cancer, human glioma and the like. The compound of the invention is expected to be developed into a new generation of anticancer drugs.

Abstract: An irrigation system and a method based on computer vision monitoring are provided. The system includes a collector, an analyzer, a controller, and irrigation equipment. The collector includes weather sensors for collecting weather information, monitoring sensors for collecting plant images, plant information sensors for collecting plant transpiration rates and leaf thicknesses, and soil sensors for collecting soil moisture information. The analyzer is used to analyze the plant images, the plant transpiration rates and the leaf thicknesses to obtain a plant type and a plant growth state, determine an irrigation scheme according to the weather information, the soil moisture information, the plant type, the plant growth state and a preset irrigation rule. The controller is used to regulate the irrigation equipment according to the irrigation scheme. It can improve the utilization rate of water resources and adopt an accurate and reasonable irrigation system.

Abstract: The present disclosure relates to a method for a torque control of a hybrid vehicle, a storage medium and an electronic device. The method includes: determining a target-total-torque-change-gradient when a limitation requirement for a gradient of torque change of a DCT is received; determining a torque request of an electric motor and an actual-torque-response-change-gradient of an engine; and determining a gradient of torque change of the electric motor according to the target-total-torque-change-gradient and the actual-torque-response-change-gradient of the engine; and filtering the torque request of the electric motor according to the gradient of torque change of the electric motor. The limitation of the gradient of torque change of the DCT is considered, A problem that the actual total torque responses of the electric motor and the engine exceeds the limitation requirement of the gradient of torque change of the DCT is effectively solved, and a drivability of the whole vehicle is improved.

Abstract: Disclosed are nucleic acid-chromophores and nucleic acid assembly containing the nucleic acid-chromophores. The nucleic acid-chromophore contains a nucleic acid strand and two or more adjacent chromophores. The two or more adjacent chromophores can be covalently incorporated in the backbone of the nucleic acid strand. One or more photophysical properties of the adjacent chromophores can be altered by a change in the nucleic acid assembly. In some forms, the nucleic acid assembly can contain a nucleic acid scaffold. In these forms, the change in the nucleic acid assembly can be a change in the length of a nucleic acid hybrid in the nucleic acid scaffold that is opposite the adjacent chromophores. Typically, the nucleic acid hybrid does not contain any chromophore. The nucleic acid-chromophores can serve as molecular fluorophores with emission properties that are highly sensitive to local geometry and the chemical environment.

Abstract: A method, apparatus and device for determining production capacity boundaries are provided. In the method, related data for producing a run size of elements by a production device lot by lot is acquired and time intervals between production ending time points of adjacent lots are determined according to the related data; the determined time intervals are sorted to obtain a time interval sequence; distribution features of time intervals at two boundaries are parsed respectively to determine whether a data removing condition is satisfied; if Yes, an outlier is determined according to a mean value of the present time interval sequence, the time interval of the extraction step length where the outlier is located is removed, and whether the data removing condition is satisfied is determined; and if No, production capacity boundaries are determined according to minimum and maximum time intervals of the present time interval sequence and the run size.